Triple

T6503987
Position Surface form Disambiguated ID Type / Status
Subject Triad E148959 entity
Predicate majorCounty P71252 FINISHED
Object Yadkin County E474182 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yadkin County | Statement: [Triad, majorCounty, Yadkin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yadkin County
Context triple: [Triad, majorCounty, Yadkin County]
  • A. Pocahontas County
    Pocahontas County is a largely rural, mountainous county in eastern West Virginia known for its outdoor recreation, scenic beauty, and role as the birthplace of several major rivers.
  • B. Page County
    Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • C. Yadkin County, North Carolina chosen
    Yadkin County, North Carolina is a predominantly rural county in the Piedmont region known for its agriculture, small towns, and location within the Yadkin Valley wine region.
  • D. Rowan County
    Rowan County is a county in North Carolina that lies within the greater Charlotte metropolitan region.
  • E. Bedford County
    Bedford County is a county-level jurisdiction in south-central Pennsylvania, known for its rural landscapes, historic sites, and role as a transportation corridor through the Appalachian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad92c624819086dbb12b4f6b78d3 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70062ec108190a9cb2655cd136d33 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:42 p.m.